We are thrilled to announce that Yash Mahajan has successfully passed his PhD defense as the 5th PhD graduate from the BridgeAI Lab. Please join us in celebrating his achievement and wishing him the very best as he steps into the next chapter of his career. Congrats, Dr. Yash! 🎓

See which models resist bias the best, how prompt design changes outcomes, and why this matters for trustworthy decision making with AI. Explore the live rankings here: https://t.co/QyxEF8cm63

Do large language models think like humans? Are they also prone to human-like cognitive biases? We just launched a new ranking system of LLMs based on their ability to resist cognitive biases with a large-scale study of 2.8M+ responses across 8 well-known biases.

Job Posting https://t.co/sMcxnpc33S @ReviewAcl @emnlpmeeting @naaclmeeting @aclmeeting #NLP #postdoc #UCF

Our analysis spans from classical machine learning approaches to the latest in Large Language Models (LLMs) and multi-modal systems. We identify and highlight the importance of Theory of Mind (ToM) and multi-modality in building intelligent MPCAs. 3/3

We explore 3 themes of Multi-Party Conversational Agents (MCPAs): - State of Mind Modeling: Understanding participant mental states - Semantic Understanding: Grasping the nuances of dialogue content - Agent Action Modeling: Predicting future conversation flows 2/3

Just released our latest survey, "Multi-Party Conversational Agents: A Survey", on arXiv! Read the full paper here: https://t.co/07vn4rSTn8 #NLP #LLM #MultiPartyConversations #DialogueSystems #Agents 1/3

Join us in pushing the boundaries of AI research! If you're interested, apply now or share with potential candidates. 📩For inquiries, contact: [santu@ucf.edu] (3/3)

🔹Minimum Requirements: ✅Ph.D. in Machine Learning or related field ✅At least two publications in reputed AI/ML conferences or journals 🔹Preferred Qualification: ✨Experience in grant proposal writing 💰Salary: $60K + Benefits (2/3)

Bridge-AI Lab is looking for a talented Postdoctoral Researcher to advance cutting-edge AI/ML research! If you have a Ph.D. and more than one publication at top AI/ML conferences or journals, we want to hear from you! (1/3)

This paper investigates how LLMs can assist meta-reviewers by generating a controlled multi-perspective summary (MPS) of peer-reviewer opinions. Through qualitative study, we analyze how prompting LLMs with varying levels of detail can impact the quality of MPS. (2/2)

We are glad to share our latest NAACL 2025 paper, "LLMs as Meta-Reviewers' Assistants: A Case Study". Read the full paper at: https://t.co/jSdGEgsOFj (1/2)

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A big thanks to @eduardo_nlp for his collaboration and significant contributions to this work. Our paper introduces ALIGN-SIM, a novel task-free framework for evaluating and interpreting sentence embeddings based on various semantic similarity alignment criteria. 2/2

We are pleased to announce that the final version of our paper, "ALIGN-SIM: A Task-Free Test Bed for Evaluating and Interpreting Sentence Embeddings through Semantic Similarity Alignment," has been published at EMNLP 2024! Read the full paper here: https://t.co/lJz1et7I55 1/2

We are excited to collaborate with BangaLLM to introduce BongLLaMA, the first ever and, of course, the state-of-the-art Bangla LLM (Based on Meta LLaMA). Try it out. @ReviewAcl #EMNLP #ACL #NLP #BanglaAI @UCFComputerSci https://t.co/pspbIHYmAR

Interested candidates are encouraged to email their CVs to Dr. Sarkar at souvika.sarkar@wichita.edu. For more information, please visit her homepage at https://t.co/Fo3YqFJccV. We extend our best wishes to Dr. Sarkar as she embarks on this exciting new chapter in her career. 3/3

Dr. Sarkar is actively seeking motivated Ph.D. students to join her research team, which will focus on exploring the potential of generative AI models to develop innovative real-world solutions. 2/3

We are excited to share that Dr. Souvika Sarkar, who recently completed her Ph.D. with Bridge-AI Lab under the supervision of Dr. Shubhra Kanti Karmaker Santu, has joined Wichita State University as a tenure-track faculty member of the School of Computing. 1/3

We are happy to release our text summarization metric, Sem-F1, for public use. https://t.co/BQ6MYrJ2KY Sem-F1 achieves a 25% higher correlation with human judgments than Bertscore on the Overlap Summarization task. Benchmarking paper coming soon. @ReviewAcl